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Adversarial Robustness of Flow-Based Generative Models., , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 3795-3805. PMLR, (2020)Unrolling the Shutter: CNN to Correct Motion Distortions., , and . CVPR, page 2345-2353. IEEE Computer Society, (2017)Winning Lottery Tickets in Deep Generative Models., , and . AAAI, page 8038-8046. AAAI Press, (2021)Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation., , and . NeurIPS, (2020)A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes., , , and . CVPR, page 19065-19075. IEEE, (2022)Generate To Adapt: Aligning Domains using Generative Adversarial Networks., , , and . CoRR, (2017)Curriculum Manager for Source Selection in Multi-source Domain Adaptation., , , and . ECCV (14), volume 12359 of Lecture Notes in Computer Science, page 608-624. Springer, (2020)Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs., , , and . CoRR, (2018)Generate to Adapt: Aligning Domains Using Generative Adversarial Networks., , , and . CVPR, page 8503-8512. Computer Vision Foundation / IEEE Computer Society, (2018)Mirrored Autoencoders with Simplex Interpolation for Unsupervised Anomaly Detection., , , and . CoRR, (2020)